Home / Companies / Neo4j / Blog / Post Details
Content Deep Dive

3 RDBMS & Graph Database Deployment Strategies (Polyglot & More)

Blog post from Neo4j

Post Details
Company
Date Published
Author
Michael Hunger, Ryan Boyd & William Lyon
Word Count
1,560
Company Posts That Month
22
Language
English
Hacker News Points
-
Post removed?
No
Summary

You can import data from a relational database into a graph database using various strategies, including abandoning the relational database and migrating all data to the graph database, continuing to use the relational database for certain use cases while storing related data in a graph database, or duplicating data in both databases. The process typically involves extracting data from the relational database, such as by dumping tables or accessing them with a database driver, and then importing it into the graph database using tools like Neo4j's LOAD CSV command or the neo4j-import command-line bulk loader. These methods allow for flexible and efficient data import processes, enabling developers to choose the best strategy for their application goals and use cases.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Data Pipeline 1 14 10 6 0%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.